/* --------------------------------------------------------------------------
CppAD: C++ Algorithmic Differentiation: Copyright (C) 2003-17 Bradley M. Bell

CppAD is distributed under multiple licenses. This distribution is under
the terms of the
                    Eclipse Public License Version 1.0.

A copy of this license is included in the COPYING file of this distribution.
Please visit http://www.coin-or.org/CppAD/ for information on other licenses.
-------------------------------------------------------------------------- */

/*
Two old sqrt examples now used just for validation testing.
*/
# include <cppad/cppad.hpp>
# include <cmath>

namespace { // BEGIN empty namespace

bool SqrtTestOne(void)
{	bool ok = true;
	using CppAD::sqrt;
	using CppAD::pow;
	using namespace CppAD;
	double eps99 = 99.0 * std::numeric_limits<double>::epsilon();

	// independent variable vector, indices, values, and declaration
	CPPAD_TESTVECTOR(AD<double>) U(1);
	size_t s = 0;
	U[s]     = 4.;
	Independent(U);

	// dependent variable vector, indices, and values
	CPPAD_TESTVECTOR(AD<double>) Z(2);
	size_t x = 0;
	size_t y = 1;
	Z[x]     = sqrt(U[s]);
	Z[y]     = sqrt(Z[x]);

	// define f : U -> Z and vectors for derivative calculations
	ADFun<double> f(U, Z);
	CPPAD_TESTVECTOR(double) v( f.Domain() );
	CPPAD_TESTVECTOR(double) w( f.Range() );

	// check values
	ok &= NearEqual(Z[x] , 2.,        eps99 , eps99);
	ok &= NearEqual(Z[y] , sqrt(2.),  eps99 , eps99);

	// forward computation of partials w.r.t. s
	v[s] = 1.;
	w    = f.Forward(1, v);
	ok &= NearEqual(w[x], .5  * pow(4., -.5),   eps99 , eps99); // dx/ds
	ok &= NearEqual(w[y], .25 * pow(4., -.75),  eps99 , eps99); // dy/ds

	// reverse computation of partials of y
	w[x] = 0.;
	w[y] = 1.;
	v    = f.Reverse(1,w);
	ok &= NearEqual(v[s], .25 * pow(4., -.75),  eps99 , eps99); // dy/ds

	// forward computation of second partials w.r.t s
	v[s] = 1.;
	w    = f.Forward(1, v);
	v[s] = 0.;
	w    = f.Forward(2, v);
	ok &= NearEqual(       // d^2 y / (ds ds)
		2. * w[y] ,
		-.75 * .25 * pow(4., -1.75),
		eps99 ,
		eps99
	);

	// reverse computation of second partials of y
	CPPAD_TESTVECTOR(double) r( f.Domain() * 2 );
	w[x] = 0.;
	w[y] = 1.;
	r    = f.Reverse(2, w);
	ok &= NearEqual(      // d^2 y / (ds ds)
		r[2 * s + 1] ,
		-.75 * .25 * pow(4., -1.75),
		eps99 ,
		eps99
	);

	return ok;

}
bool SqrtTestTwo(void)
{	bool ok = true;
	using namespace CppAD;
	double eps99 = 99.0 * std::numeric_limits<double>::epsilon();

	// independent variable vector
	CPPAD_TESTVECTOR(AD<double>) U(1);
	U[0]     = 2.;
	Independent(U);

	// a temporary values
	AD<double> x = U[0] * U[0];

	// dependent variable vector
	CPPAD_TESTVECTOR(AD<double>) Z(1);
	Z[0] =  sqrt( x ); // z = sqrt( u * u )

	// create f: U -> Z and vectors used for derivative calculations
	ADFun<double> f(U, Z);
	CPPAD_TESTVECTOR(double) v(1);
	CPPAD_TESTVECTOR(double) w(1);

	// check value
	ok &= NearEqual(U[0] , Z[0],  eps99 , eps99);

	// forward computation of partials w.r.t. u
	size_t j;
	size_t p     = 5;
	double jfac  = 1.;
	double value = 1.;
	v[0]         = 1.;
	for(j = 1; j < p; j++)
	{	jfac *= double(j);
		w     = f.Forward(j, v);
		ok &= NearEqual(w[0], value/jfac, eps99, eps99); // d^jz/du^j
		v[0]  = 0.;
		value = 0.;
	}

	// reverse computation of partials of Taylor coefficients
	CPPAD_TESTVECTOR(double) r(p);
	w[0]  = 1.;
	r     = f.Reverse(p, w);
	jfac  = 1.;
	value = 1.;
	for(j = 0; j < p; j++)
	{	ok &= NearEqual(r[j], value/jfac, eps99, eps99); // d^jz/du^j
		jfac *= double(j + 1);
		value = 0.;
	}

	return ok;
}
bool SqrtTestThree(void)
{	bool ok = true;
	using CppAD::sqrt;
	using CppAD::exp;
	using namespace CppAD;
	double eps99 = 99.0 * std::numeric_limits<double>::epsilon();

	// independent variable vector, indices, values, and declaration
	double x = 4.;
	CPPAD_TESTVECTOR(AD<double>) X(1);
	X[0]     = x;
	Independent(X);

	// dependent variable vector, indices, and values
	CPPAD_TESTVECTOR(AD<double>) Y(1);
	Y[0]     = sqrt( exp(X[0]) );

	// define f : X -> Y and vectors for derivative calculations
	ADFun<double> f(X, Y);

	// forward computation of first Taylor coefficient
	CPPAD_TESTVECTOR(double) x1( f.Domain() );
	CPPAD_TESTVECTOR(double) y1( f.Range() );
	x1[0] = 1.;
	y1    = f.Forward(1, x1);
	ok   &= NearEqual(y1[0], exp(x/2.)/2.,   eps99 , eps99);

	// forward computation of second Taylor coefficient
	CPPAD_TESTVECTOR(double) x2( f.Domain() );
	CPPAD_TESTVECTOR(double) y2( f.Range() );
	x2[0] = 0.;
	y2    = f.Forward(2, x2);
	ok   &= NearEqual(2.*y2[0] , exp(x/2.)/4., eps99 , eps99 );

	// forward computation of third Taylor coefficient
	CPPAD_TESTVECTOR(double) x3( f.Domain() );
	CPPAD_TESTVECTOR(double) y3( f.Range() );
	x3[0] = 0.;
	y3    = f.Forward(3, x3);
	ok   &= NearEqual(6.*y3[0] , exp(x/2.)/8., eps99 , eps99 );

	// reverse computation of deritavitve of Taylor coefficients
	CPPAD_TESTVECTOR(double) r( f.Domain() * 4 );
	CPPAD_TESTVECTOR(double) w(1);
	w[0] = 1.;
	r    = f.Reverse(4, w);
	ok   &= NearEqual(r[0], exp(x/2.)/2., eps99 , eps99);
	ok   &= NearEqual(r[1], exp(x/2.)/4., eps99 , eps99 );
	ok   &= NearEqual(2.*r[2], exp(x/2.)/8., eps99 , eps99 );
	ok   &= NearEqual(6.*r[3], exp(x/2.)/16., eps99 , eps99 );

	return ok;

}

} // END empty namespace

bool Sqrt(void)
{	bool ok = true;
	ok &= SqrtTestOne();
	ok &= SqrtTestTwo();
	ok &= SqrtTestThree();
	return ok;
}
